Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach.

Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological images and investigate its possible molecular mechanisms.

Phase I Clinical Trial of Autologous Hematopoietic Stem Cell Transplantation-Supported Dose-Intensified Chemotherapy With Adebrelimab as First-Line Treatment for Extensive-Stage Small Cell Lung Cancer.

Background: Small cell lung cancer (SCLC) is initially highly sensitive to chemotherapy, which often leads to significant tumor reduction. However, the majority of patients eventually develop resistance, and the disease is further complicated by its "cold" tumor microenvironment, characterized by low tumor immunogenicity and limited CD8+ T cell infiltration. These factors contribute to the poor response to immunotherapy in many cases of extensive-stage SCLC (ES-SCLC).

Design, Synthesis, and Evaluation of Selective PDE4 Inhibitors for the Therapy of Pulmonary Injury.

Pulmonary inflammation is the main cause of lung injury. Phosphodiesterase 4 (PDE4) is a promising anti-inflammatory target for the treatment of respiratory diseases. Herein, we designed and synthesized 43 compounds in two novel series of benzimidazole derivatives as PDE4 inhibitors.

Study on gene expression in the liver at various developmental stages of human embryos.

Background: The normal development of the liver during human embryonic stages is critical for the functionality of the adult liver. Despite this, the essential genes, biological processes, and signal pathways that drive liver development in human embryos remain poorly understood.

Methods: In this study, liver samples were collected from human embryos at progressive developmental stages, ranging from 2-month-old to 7-month-old.

Deep learning-based synthetic CT for dosimetric monitoring of combined conventional radiotherapy and lattice boost in large lung tumors.

Purpose: Conventional radiotherapy (CRT) has limited local control and poses a high risk of severe toxicity in large lung tumors. This study aimed to develop an integrated treatment plan that combines CRT with lattice boost radiotherapy (LRT) and monitors its dosimetric characteristics.

Methods: This study employed cone-beam computed tomography from 115 lung cancer patients to develop a U-Net +  + deep learning model for generating synthetic CT (sCT).